Corpus Applications In Language Teaching And Research
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Corpus Applications in Language Teaching and Research
Corpus Applications in Language Teaching and Research: The Case of Data-Driven Learning of German provides a historical overview of corpus applications in language teaching with a focus on German. The book identifies challenges in using corpus applications and data-driven learning (DDL) research for Languages Other Than English (LOTEs) and addresses these challenges through various approaches. Overall, this book: surveys corpus applications for teaching and learning German, highlighting the growth of the L2 German DDL field and identifying trends in integrating DDL into pedagogical practice; presents empirical research on the effectiveness of DDL applications for teaching and learning German in comparison with research on English and other LOTEs, emphasizing the need for expanding the scope of DDL research to include more languages, skills, and study types; compares teaching interventions for L2 collocations in the fields of Instructed Second Language Acquisition (ISLA) and DDL, highlighting methodological differences between the two paradigms and proposing a combined ISLA/DDL framework to bridge the disconnect; showcases a successful DDL intervention that resulted in significant learning gains in German collocation knowledge, filling a gap in DDL research; proposes an Open Educational Resource (OER) for teaching and learning German, incorporating open access corpora, learner-fit criteria, new tools and technology, and usage-based learning principles; examines the current difficulties encountered by the DDL field and highlights potential directions for future research and pedagogical approaches. This book offers insights and resources for researchers, language teaching practitioners, and students interested in corpus-based learning and teaching methods. While the focus is on teaching German to English-speaking students, the book's findings have broader applicability to language teaching and learning in different contexts.
Computer Learner Corpora, Second Language Acquisition, and Foreign Language Teaching
Author: Sylviane Granger
language: en
Publisher: John Benjamins Publishing
Release Date: 2002-01-01
This book takes stock of current research into computer learner corpora conducted both by ELT and SLA specialists. It should be of particular interest to researchers looking to assess its relevance to SLA theory and ELT practice. Throughout the volume, emphasis is also placed on practical, methodological aspects of computer learner corpus research, in particular the contribution of technology to the research process. The advantages and disadvantages of automated and semi-automated approaches are analyzed, the capabilities of linguistic software tools investigated, the corpora (and compilation processes) described in detail. In this way, an important function of the volume is to give practical insight to researchers who may be considering compiling a corpus of learner data or embarking on learner corpus research.The volume is divided into three main sections: Section 1 gives a general overview of learner corpus research; Section 2 illustrates a range of corpus-based approaches to interlanguage analysis; Section 3 demonstrates the direct pedagogical relevance of learner corpus work.
Corpus Linguistics for Education
Corpus Linguistics for Education provides a practical and comprehensive introduction to the use of corpus research-methods in the field of education. Taking a hands-on approach to showcase the applications of corpora in the exploration of educationally relevant topics, this book: - covers 18 key skills including corpus building, the role of frequency, different corpus methods, transcription and annotation; - demonstrates the use of available corpora and desktop and online corpus analysis tools to conduct original analyses; - features case studies and step-by-step guides within each chapter; - emphasises the use of interview data in research projects. Corpus Linguistics for Education is an essential guide for students and researchers studying or conducting their own corpus-based research in education.